IoT-based maritime application: An experiment of ship radius detection

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Internet of Things (IoT) have wide ranges of applications. One of interesting application is for detection and monitoring ship mobility in harbor. Monitoring the ship in harbor may not need a large monitoring system such as satellite and radar because of limited area. In this paper, we propose a ship detection using IoT. We use four sensors to observe ship-generated waves and combine them using our proposed formula to detect location of the ship real time. We measure radius detection as the average distance from point of interest. We conduct experiments based on two variables, i.e.: sensor distance and ship speed. We show that as the sensor distance increases, the radius detection increases. Moreover, as the ship speed increases, the radius detection decreases. The increasing of sensor distance causes decreasing the amplitude of ship-generated waves. Otherwise, the increasing ship speed improves amplitude of the ship-generated waves. We can see that radius detection is 0.5 m when ship speed is 3 m/s.

Original languageEnglish
Title of host publicationBDIOT 2017 - Proceedings of the International Conference on Big Data and Internet of Thing
PublisherAssociation for Computing Machinery
Pages191-194
Number of pages4
ISBN (Electronic)9781450354301
DOIs
Publication statusPublished - 20 Dec 2017
Event2017 International Conference on Big Data and Internet of Thing, BDIOT 2017 - London, United Kingdom
Duration: 20 Dec 201722 Dec 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2017 International Conference on Big Data and Internet of Thing, BDIOT 2017
CountryUnited Kingdom
CityLondon
Period20/12/1722/12/17

Keywords

  • Cooperative nodes
  • Internet of Things (IoT)
  • Location
  • Ship detection

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